Continuous Ambulatory Monitoring to Predict Elevated Risk of Infection in Children With Lymphoblastic Leukemia Undergoing Induction Chemotherapy (CAMPER-ALL)
NCT04322084 · Status: WITHDRAWN · Type: OBSERVATIONAL
Last updated 2024-09-25
Summary
Acute lymphoblastic leukemia (ALL) is the most common cancer of childhood and long-term survival has risen to above 90%, but 1-4% of treated patients die from infections. Early detection and treatment of infection can improve these outcomes by preventing increased severity and death. This study aims to determine whether continuous analysis of information from wearable devices (Like a watch and sticky patch) that measure temperature, pulse rate, oxygen level, and other similar information can predict infection before it is apparent to the patient or caregiver. About 65 patients will be enrolled and will wear these devices for 10 days; during that time the information will be recorded, but not available. After completion, information collected immediately before infection will be compared to other times to identify features that predict infections.
Conditions
Interventions
- OTHER
-
Wearable Sensors
To develop predictive algorithms that identify early onset of sepsis in children being treated for ALL. This study will use a two-stage design. The initial stage (the feasibility phase) will evaluate the feasibility of data collection, and the second stage (the completion phase) will provide data for the design of predictive models.
Sponsors & Collaborators
-
St. Jude Children's Research Hospital
lead OTHER
Principal Investigators
-
Joshua Wolf, MBBS, PhD · St. Jude Children's Research Hospital
Eligibility
- Min Age
- 5 Years
- Max Age
- 25 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-09-30
- Primary Completion
- 2024-10-31
- Completion
- 2025-07-31
Countries
- United States
Study Locations
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